Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Finite-state Markov modeling of fading channels - a survey of principles and applications
2008341 citationsRodney A. Kennedy, Predrag Rapajic et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Predrag Rapajic
Since
Specialization
Citations
This map shows the geographic impact of Predrag Rapajic's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Predrag Rapajic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Predrag Rapajic more than expected).
This network shows the impact of papers produced by Predrag Rapajic. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Predrag Rapajic. The network helps show where Predrag Rapajic may publish in the future.
Co-authorship network of co-authors of Predrag Rapajic
This figure shows the co-authorship network connecting the top 25 collaborators of Predrag Rapajic.
A scholar is included among the top collaborators of Predrag Rapajic based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Predrag Rapajic. Predrag Rapajic is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rapajic, Predrag, et al.. (2012). Maximum mutual information rate for the Uniformly Symmetric Variable Noise FSMC without channel state information. International Symposium on Information Theory and its Applications. 41–45.1 indexed citations
Rapajic, Predrag, et al.. (2004). Method for MIMO Channel Capacity Estimation for Electro-Magnetically Coupled Transmit Antenna Elements. ANU Open Research (Australian National University).1 indexed citations
15.
Rapajic, Predrag, et al.. (2004). Information Capacity Analysis of the Time Varying Binary Symmetric Channel. ANU Open Research (Australian National University).1 indexed citations
Rapajic, Predrag. (1997). Performance Analysis of Slotted ALOHA/CDMA System with Adaptive MMSE Receivers (Special Section on Spread Spectrum Techniques and Applications). IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(12). 2485–2492.4 indexed citations
19.
Rapajic, Predrag & Branka Vucetic. (1994). Narrow-band and Multiple Access Interference Rejection by Adaptive Single User Receiver in Asynchronous CDMA Systems. International Symposium on Information Theory and its Applications. 73.1 indexed citations
20.
Vucetic, Branka & Predrag Rapajic. (1994). Application of Fast Adaptive Algorithms in Asynchronous CDMA Systems. International Symposium on Information Theory and its Applications. 97.4 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.